Teams

SFu | BKeisner

2022 Capital Combo 18 & Over · 7.5 Men

11 players · average NTRP 3.64 / NORTH CAROLINA

View scouting list →
Schedule6 played
2022-10-09vs CLav Wakefield 7.5 18+Won 10
W#2 DoublesJeff Keisner / Brent Lamm vs Emanuele Michi / Scott Arra6-4, 6-4
2022-10-02vs SWingo18+ Seven OaksSplit 11
W#2 DoublesJeff Keisner / Brent Lamm vs Anthony Womack / Patrick Wood6-0, 6-4
L#3 DoublesBen Desonglo / Reece Desonglo vs Wes Snead / Gavin Mazurak2-6, 7-5, 0-1
2022-09-25Won 10
W#3 DoublesJeff Keisner / Brent Lamm vs Michael Ball / Tony Kattan6-3, 6-3
2022-09-11Lost 01
L#2 DoublesTed Lotchin / Randeep Grewal vs Anthony Thomas / Jeff Hanna2-6, 2-6
2022-08-28vs IBTownsend/BRoss 7.5 ComboSplit 11
W#2 DoublesTed Lotchin / Ben Desonglo vs Rex Bickley / Will Adkins5-7, 6-2, 1-0
L#3 DoublesJeff Keisner / Brent Lamm vs Kevin Abourisk / Andrew Patterson3-6, 6-4, 0-1
2022-08-17vs ITCMunceHG2022Lost 01
L#1 DoublesJustin Prins / Ted Lotchin vs Keith Overfield / Jason McGeorge3-6, 6-4, 1-0
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.

Flight standings for 7.5 Men have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 3.34 estimated across 9 rated players. No lineup is published in advance, so the column below is where each player has actually been used — a captain's habits are the best available forecast. Sign in and claim your record to see who you have played.

3.84
Carlos Collado
published 4
3.67
Reece Desonglo
published
3.54
Ted Lotchin
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
3.37
Mark Wood
published
3.30
Brent Lamm
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.29
Alex Radulovic
published 3.5
David Steele
published 3.5
3.05
Stephen Fu
published 3.5
3.03
Ben Desonglo
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
2.95
Jeff Keisner
published
Miguel Materin
published
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Ted Lotchin + Brent Lamm6453% gamesnot enough data
Ben Desonglo + Brent Lamm2451% gamesnot enough data
Ben Desonglo + Ted Lotchin404 matchesnot enough data
Roster

Ordered by our estimated dynamic rating, which is why two players at the same published level are not tied — a published 4.0 says nothing about where inside the band someone sits. Lines played in this team’s season are shown beside each name.

4
Carlos Collado
20W–15L career · no lines in 2022
<1%89%10%
3.84
Reece Desonglo
6W–0L career · no lines in 2022
<1%10%90%
3.67
4
Ted Lotchin
159W–115L career · 3 lines in 2022
39%61%<1%
3.54
Mark Wood
15W–16L career · no lines in 2022
<1%83%16%
3.37
3.5
Brent Lamm
154W–106L career · 4 lines in 2022
1%93%6%
3.30
3.5
Alex Radulovic
1W–2L career · no lines in 2022
1%93%6%
3.29
3.5
David Steele
1W–1L career · no lines in 2022
not enough data
3.5
Stephen Fu
75W–130L career · no lines in 2022
34%66%<1%
3.05
3.5
Ben Desonglo
94W–84L career · 2 lines in 2022
40%60%<1%
3.03
Jeff Keisner
0W–6L career · no lines in 2022
64%36%<1%
2.95
Miguel Materin
0W–1L career · no lines in 2022
not enough data

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. Percentages are blank where a player has too few matches this season, or at a level where the model does not yet beat a base-rate guess; the estimate is a weaker claim than a probability and survives where those do not.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.